Data Engineering Test

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About the test

The Data Engineering test assesses skills in collecting, transforming, and storing data, as well as building pipelines, ensuring quality, and supporting analytics.

The assessment includes work-sample tasks such as:

  • Designing efficient data storage, partitioning, and sharding strategies.
  • Building data pipelines, managing data formats, and ensuring data quality.
  • Creating and optimizing data models for efficient storage and retrieval.

A good data engineer needs to be able to design, build, and maintain data infrastructure and pipelines in order to ensure that data is accessible, reliable, and ready for analysis.

Sample public questions

Easy
5 min
mca
Public
Data Engineering
Data Partitioning
Sharding

As a data engineer at an electronic components factory, you have been tasked with improving the performance of the factory's information database. The database is experiencing slow read operations, and the factory plans to add new powerful servers to help with the problem.

The database includes several critical tables, including the ones mentioned below along with their related issues:

  • Orders: The table is read-heavy, where recent orders are accessed most frequently, and has become a bottleneck due to its size. 
  • QualityControl: The table has numerous columns, many of which are rarely queried, causing unnecessary data processing during reads.

Diagram showing database Tables

What can be done to improve the mentioned issues while taking advantage of the new powerful servers?

Easy
3 min
mca
Public
Data Engineering
Data Storage

A platform that schedules and records video game matches has an on-premise database of several terabytes in size. The database contains match results, players, recordings of best plays, and scheduled matches.

Analytic queries are taking too long to execute, so the CTO wants to change the data architecture of the platform and has asked you to provide suggestions.

Considering that:

  • Platform users scheduling matches generate a high volume of INSERT operations.
  • Analytic reports don't need real time data, and they can tolerate significant latency.
  • Videos are generated automatically for each match, and are stored as BLOBs in the database.

Where should data be stored to satisfy the points above while having good performance for user and analytics operations?

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5 more premium Data Engineering questions

Sculpture Market, Retail Company Growth, Retail Store, Customer Behavior, Food Flavoring.

Skills and topics tested

  • Data Engineering
  • Data Modeling
  • Database Schema
  • Tables
  • ETL
  • Data Quality
  • Indexes
  • Data Format
  • File

For job roles

  • Data Engineer

Sample candidate report

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What others say

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Simple, straight-forward technical testing

TestDome is simple, provides a reasonable (though not extensive) battery of tests to choose from, and doesn't take the candidate an inordinate amount of time. It also simulates working pressure with the time limits.

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Product reviews

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Capterra - 4.5 Stars
Capterra - Shortlist (2023)

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